Skip to content

Translation in progress Some entries still include text in the original language.

Oct 12 · Monday

All papers

Found 3 papers
Filter3

Attack type

Extraction and theft3

Impact

Harmful content6Data and privacy leaks3

System type

Models and APIs3

Attacker access

Black-box3White-box3

Attack surface / entry point

User input3

Layer

Prompt layer5Model layer7Application layer11Training and data layer3
Select any value within a category; different categories must all match. Counts include the other filters you have selected.Another 265papers have no tags yet and are not included in filtered results.
Impact：Data and privacy leaksAttacker access：Black-boxLayer：Training and data layerClear all

Another 265papers do not have category tags yet and are not included in filtered results.

  2. AttacksarXiv 2609.35699

    论文：蒸馏防御在蒸馏后强化学习下易被攻破

    提出用 API 推理摘要重建轨迹再蒸馏加强化学习，攻破蒸馏防御

    arXiv
    2609.35699
    Published
    Layer
    Training and data layer
    Setting
    Models and APIs
    Attacker
    Black-box
    Evaluated models
    Qwen2.5-0.5B, Qwen2.5-1.5B, Qwen2.5-3B and others12
    Abstract更现实的蒸馏攻击是蒸馏后再 RL。

    这篇工作修订蒸馏攻击的威胁模型：攻击者经合法 API 收集闭源推理数据，先蒸馏自有模型，再做强化学习。作者认为只在蒸馏后评估防御，会漏掉后续 RL，从而高估防御。

    Paper analysisRead analysis
  3. AttacksarXiv 2609.33985

    研究：众包微调数据投毒可放大专有指令抽取

    提出主题锚点投毒，放大众包微调后的专有指令提取

    arXiv
    2609.33985
    Published
    Layer
    Training and data layer
    Setting
    Models and APIs
    Attacker
    Black-box
    Evaluated models
    Qwen2.5-7B-Instruct, Qwen2.5-14B-Instruct, Llama-3.1-8B-Instruct and others4

    Abstract论文提出基于主题锚点的数据中毒攻击，证明低比例的中毒样本可在黑盒条件下隐蔽放大微调指令泄漏。

    Paper analysisRead analysis
You have reached the end